Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets

Producción Científica

Detalles Bibliográficos
Autores: Martín-Crespo, Alejandro, Baeyens Lázaro, Enrique, Saludes-Rodil, Sergio, Frechoso Escudero, Fernando
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/75758
Acceso en línea:https://doi.org/10.1155/er/8819201
https://uvadoc.uva.es/handle/10324/75758
Access Level:acceso abierto
Palabra clave:demand flexibility prediction
electricity balance markets
Monte Carlo simulation
thermostatically controlled loads
virtual batteries
3306 Ingeniería y Tecnología Eléctricas
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spelling Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance MarketsMartín-Crespo, AlejandroBaeyens Lázaro, EnriqueSaludes-Rodil, SergioFrechoso Escudero, Fernandodemand flexibility predictionelectricity balance marketsMonte Carlo simulationthermostatically controlled loadsvirtual batteries3306 Ingeniería y Tecnología EléctricasProducción CientíficaThe aggregate demand flexibility of a set of residential thermostatically controlled loads (TCLs) can be represented by a virtual battery (VB) in order to manage their participation in the electricity markets. For this purpose, it is necessary to know in advance and with a high level of reliability the maximum power that can be supplied by the aggregation of TCLs. A probability function of the power that can be supplied by a VB is introduced in this paper. This probability function is used to predict the demand flexibility using a rigorous experimental probabilistic method based on a combination of Monte Carlo simulation and extremum search by bisection (MC&ESB) algorithm. As a result, the maximum flexibility power that a VB can provide is obtained. MC&ESB performs the demand flexibility prediction with a given confidence level and taking into account TCLs and users? real-time constraints, which is a novel contribution. The performance and validity of the proposed method are demonstrated and discussed in three different case studies where a VB bids its aggregate power in the Spanish electricity balancing markets (SEBMs).This research received funding from the European Union’s Horizon 2020 LocalRES project under the Grant Agreement no. 957819John Wiley and Sons Ltd2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1155/er/8819201https://uvadoc.uva.es/handle/10324/75758reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://onlinelibrary.wiley.com/doi/full/10.1155/er/8819201info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:uvadoc.uva.es:10324/757582026-06-13T12:44:47Z
dc.title.none.fl_str_mv Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
title Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
spellingShingle Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
Martín-Crespo, Alejandro
demand flexibility prediction
electricity balance markets
Monte Carlo simulation
thermostatically controlled loads
virtual batteries
3306 Ingeniería y Tecnología Eléctricas
title_short Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
title_full Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
title_fullStr Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
title_full_unstemmed Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
title_sort Aggregated Demand Flexibility Prediction of Residential Thermostatically Controlled Loads and Participation in Electricity Balance Markets
dc.creator.none.fl_str_mv Martín-Crespo, Alejandro
Baeyens Lázaro, Enrique
Saludes-Rodil, Sergio
Frechoso Escudero, Fernando
author Martín-Crespo, Alejandro
author_facet Martín-Crespo, Alejandro
Baeyens Lázaro, Enrique
Saludes-Rodil, Sergio
Frechoso Escudero, Fernando
author_role author
author2 Baeyens Lázaro, Enrique
Saludes-Rodil, Sergio
Frechoso Escudero, Fernando
author2_role author
author
author
dc.subject.none.fl_str_mv demand flexibility prediction
electricity balance markets
Monte Carlo simulation
thermostatically controlled loads
virtual batteries
3306 Ingeniería y Tecnología Eléctricas
topic demand flexibility prediction
electricity balance markets
Monte Carlo simulation
thermostatically controlled loads
virtual batteries
3306 Ingeniería y Tecnología Eléctricas
description Producción Científica
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1155/er/8819201
https://uvadoc.uva.es/handle/10324/75758
url https://doi.org/10.1155/er/8819201
https://uvadoc.uva.es/handle/10324/75758
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://onlinelibrary.wiley.com/doi/full/10.1155/er/8819201
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv John Wiley and Sons Ltd
publisher.none.fl_str_mv John Wiley and Sons Ltd
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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